CSAMiningProcess: CSAMiningProcess

In STMotif: Discovery of Motifs in Spatial-Time Series

Description

CSA Datamining Process

Usage

CSAMiningProcess(D, DS, w, a, sb, tb, si, ka)

Arguments

D	Dataset containing numeric values
DS	Dataset containing SAX encoded values
w	Word Size
a	Number of letters to do the encode
sb	Spatial block size
tb	Temporal block size
si	Minimum number of occurrences inside each block
ka	Minimum number of spatial-time series with occurrences inside each block

Value

Return a list of ranked motifs. Each motif contains the information [isaxcode, recmatrix, vectst, rank], as described:

isaxcode: Motif sequences in character format

recmatrix: Matrix giving as information the blocks containing this motif

vectst: Coordinate of the start positions of the motif in the original dataset

rank: L of information used for motif ranking, as [dist, word, qtd, proj]

Examples

#CSA Datamining process
D  <- STMotif::example_dataset
DS <- NormSAX(STMotif::example_dataset,5)
rmotif <- CSAMiningProcess(D,DS,4,5,4,10,2,2)

STMotif documentation built on Jan. 8, 2021, 2:24 a.m.